44 Result(s)
within
Chapter
Shen-** Zhang
English
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Chapter and Conference Paper
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level
Text classification is a widely used task in natural language processing. However, the presence of stereotype bias in text classification can lead to unfair and inaccurate predictions. Stereotype bias is parti...
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Chapter and Conference Paper
HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing
The increasing complex tasks and growing size of data have necessitated the application of distributed transaction processing (DTP), which decouples tasks and data among multiple nodes for jointly processing....
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Chapter and Conference Paper
Concept Mask: Large-Scale Segmentation from Semantic Concepts
Existing works on semantic segmentation typically consider a small number of labels, ranging from tens to a few hundreds. With a large number of labels, training and evaluation of such task become extremely ch...
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Chapter and Conference Paper
Deep Co-Training for Semi-Supervised Image Recognition
In this paper, we study the problem of semi-supervised image recognition, which is to learn classifiers using both labeled and unlabeled images. We present Deep Co-Training, a deep learning based method inspir...
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Chapter and Conference Paper
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States
Facial expression recognition is a topical task. However, very little research investigates subtle expression recognition, which is important for mental activity analysis, deception detection, etc. We address ...
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Chapter and Conference Paper
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks
Generating accurate 3D models from cone-beam computed tomography (CBCT) images is an important step in develo** treatment plans for patients with craniomaxillofacial (CMF) deformities. This process often inv...
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Chapter
Human Avian Influenza A H5N1, H7N9, H10N8 and H5N6 Virus Infection
Avian influenza is an infectious disease induced by avian influenza viruses in poultry, commonly called genuine fowl plague or European fowl plague.
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Chapter and Conference Paper
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease
Parkinson’s disease (PD) is a major progressive neurodegenerative disorder. Accurate diagnosis of PD is crucial to control the symptoms appropriately. However, its clinical diagnosis mostly relies on the subje...
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Chapter and Conference Paper
Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery
It is clinically important to accurately predict facial soft tissue changes prior to orthognathic surgery. However, the current simulation methods are problematic, especially in clinically critical regions. We...
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Chapter and Conference Paper
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation
In diffusion MRI, the outcome of estimation problems can often be improved by taking into account the correlation of diffusion-weighted images scanned with neighboring wavevectors in q-space. For this purpose, we...
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Chapter and Conference Paper
Study on the Target Frame of HMDs in Different Background Brightness
Interface of Helmet Mounted Display System (HMDs) will be the major human-computer interaction interface of fighters in the future. Its icons and color design are important for the efficiency of the entire sys...
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Chapter and Conference Paper
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification
Analysis of brain functional connectivity network (BFCN) has shown great potential in understanding brain functions and identifying biomarkers for neurological and psychiatric disorders, such as Alzheimer’s di...
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Chapter and Conference Paper
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification
Functional magnetic resonance imaging (fMRI) provides a non-invasive way to investigate brain activity. Recently, convergent evidence shows that the correlations of spontaneous fluctuations between two distinc...
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Chapter and Conference Paper
Automated Three-Piece Digital Dental Articulation
In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmental...
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Chapter and Conference Paper
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties
Diffusion magnetic resonance imaging (DMRI) is a powerful imaging modality due to its unique ability to extract microstructural information by utilizing restricted diffusion to probe compartments that are much...
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Chapter and Conference Paper
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization
Spherical deconvolution (SD) of the white matter (WM) diffusion-attenuated signal with a fiber signal response function has been shown to yield high-quality estimates of fiber orientation distribution function...
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Chapter and Conference Paper
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification
We present a method for automated brain tissue segmentation based on diffusion MRI. This provides information that is complementary to structural MRI and facilitates fusion of information between the two imagi...
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Chapter and Conference Paper
Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases
Brain atlases are an integral component of neuroimaging studies. However, most brain atlases are fuzzy and lack structural details, especially in the cortical regions. In particular, neonatal brain atlases are...
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Chapter and Conference Paper
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model
Craniomaxillofacial (CMF) deformities involve congenital and acquired deformities of the head and face. Landmark digitization is a critical step in quantifying CMF deformities. In current clinical practice, CM...
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Chapter and Conference Paper
Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study
One popular approach for human action recognition is to extract features from videos as representations, subsequently followed by a classification procedure of the representations. In this paper, we investigat...
